GOES NRT data from goes_xrs
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
Research direction
Start by reading the goes_xrs submodule and its existing public entry points for how instrument data is retrieved and represented. Define completion around a get_nrt() entry point that downloads the GOES NRT JSON file and returns a time series, then add or run the relevant goes_xrs tests if available.
Written by the indexing model from the issue text.
Description
Describe the feature
Following discussion with @alasdairwilson it would be nice to have the goes_xrs submodule be able to download the GEOS NRT json file and return a timeseries
something along the lines of
from sunkit_instruments import goes_xrs
goes_nrt = goes_xrs.get_nrt()
- Dominant language
- Python
- Stars
- 15
- Forks
- 20
- Avg merge
- 9h 48m
- Merged PRs (30d)
- 5
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from sunpy/sunkit-instruments
-
Documentation
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
sunpy/sunkit-instruments#209 ·
-
Feature Request
Difficulty 5/5 Over a week Newbie friendliness 35/100
sunpy/sunkit-instruments#217 ·
-
Feature Request
Difficulty 5/5 Over a week Newbie friendliness 25/100
sunpy/sunkit-instruments#154 · 2 comments ·
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
sunpy/sunkit-instruments#132 · 4 comments ·
-
Difficulty 5/5 Over a week Newbie friendliness 35/100
sunpy/sunkit-instruments#129 · 3 comments ·
All issues in sunpy/sunkit-instruments
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
bancolombia/sentinel#23 ·
-
test md OpenCI
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
-
integration:quickjs org:external priority:backlog topic:code-interpreter topic:middleware type:feature
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
langchain-ai/deepagents#6450 ·
-
bug client
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 74/100